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Shyam Varan Nath, Ann Dunkin, Mahesh Chowdhary, Nital Patel
Digital transformation requires the ability to identify opportunities across industries and apply the right technologies and tools to achieve results. This audiobook is divided into two parts with the first covering what digital transformation is and why it is important. The second part focuses on how digital transformation works.After an introduction to digital transformation, you will explore the transformation journey in logical steps and understand how to build business cases and create productivity benefit statements. Next, you’ll delve into advanced topics relating to overcoming various challenges. Later, the audiobook will take you through case studies in both private and public sector organizations. You’ll explore private sector organizations such as industrial and hi-tech manufacturing in detail and get to grips with public sector organizations by learning how transformation can be achieved on a global scale and how the resident experience can be improved. In addition to this, you will understand the role of artificial intelligence, machine learning and deep learning in digital transformation. Finally, you’ll discover how to create a playbook that can ensure success in digital transformation.By the end of this audiobook, you’ll be well-versed with industrial digital transformation and be able to apply your skills in the real world.
In today’s world, every CPU has a multi-core processor. However, unless your application has implemented parallel programming, it will fail to utilize the hardware’s full processing capacity. This book will show you how to write modern software on the optimized and high-performing .NET Core 3 framework using C# 8.Hands-On Parallel Programming with C# 8 and .NET Core 3 covers how to build multithreaded, concurrent, and optimized applications that harness the power of multi-core processors. Once you’ve understood the fundamentals of threading and concurrency, you’ll gain insights into the data structure in .NET Core that supports parallelism. The book will then help you perform asynchronous programming in C# and diagnose and debug parallel code effectively. You’ll also get to grips with the new Kestrel server and understand the difference between the IIS and Kestrel operating models. Finally, you’ll learn best practices such as test-driven development, and run unit tests on your parallel code.By the end of the book, you’ll have developed a deep understanding of the core concepts of concurrency and asynchrony to create responsive applications that are not CPU-intensive.
Rick G Garibay, Hammad Rajjoub, Rick G. Garibay
Windows Server AppFabric provides a set of integrated capabilities that extend IIS and the Windows Server platform making it easier to build, scale and manage composite applications today. Windows Server AppFabric delivers the first wave of innovation within an exciting new middleware paradigm which brings performance, scalability and enhanced management capabilities to the platform for applications built on the .NET Framework using Windows Communication Foundation and Windows Workflow Foundation.'Microsoft Windows Server AppFabric Cookbook' shows you how to get the most from WCF and WF services using Windows Server AppFabric leveraging the capabilities for building composite solutions on the .NET platform. Packed with over 60 task-based and immediately reusable recipes, 'Microsoft Windows Server AppFabric Cookbook' starts by showing you how to set up your development environment to start using Windows Server AppFabric quickly. The book then moves on to provide comprehensive coverage of the most important capabilities provided by Windows Server AppFabric, diving right in to hands-on topics such as deploying WCF and WF applications to Windows Server AppFabric and leveraging the distributed caching, scalable hosting, persistence, monitoring and management capabilities that Windows Server AppFabric has to offer, with recipes covering a full spectrum of complexity from simple to intermediate and advanced.
Akhil Arora, Shrey Mehrotra, Shreyank Gupta
Today enterprises generate huge volumes of data. In order to provide effective services and to make smarter and more intelligent decisions from these huge volumes of data, enterprises use big-data analytics. In recent years, Hadoop has been used for massive data storage and efficient distributed processing of data. The Yet Another Resource Negotiator (YARN) framework solves the design problems related to resource management faced by the Hadoop 1.x framework by providing a more scalable, efficient, flexible, and highly available resource management framework for distributed data processing.This book starts with an overview of the YARN features and explains how YARN provides a business solution for growing big data needs. You will learn to provision and manage single, as well as multi-node, Hadoop-YARN clusters in the easiest way. You will walk through the YARN administration, life cycle management, application execution, REST APIs, schedulers, security framework and so on. You will gain insights about the YARN components and features such as ResourceManager, NodeManager, ApplicationMaster, Container, Timeline Server, High Availability, Resource Localisation and so on.The book explains Hadoop-YARN commands and the configurations of components and explores topics such as High Availability, Resource Localization and Log aggregation. You will then be ready to develop your own ApplicationMaster and execute it over a Hadoop-YARN cluster.Towards the end of the book, you will learn about the security architecture and integration of YARN with big data technologies like Spark and Storm. This book promises conceptual as well as practical knowledge of resource management using YARN.
LMMS: A Complete Guide to Dance Music Production
You've scoured the forums, watched the tutorial videos, and done everything you can to learn the secrets of the art of making dance music. Everyone is saying something different about how to get into producing your own projects. This book will help connect the dots and lay a solid foundation of knowledge so you can get beats banging out of LMMS.This book will show you the ins and outs of making Dance music with LMMS. Do you make house, trance, techno or down-tempo? After this book you'll be able to make a song that stands out from the masses, using time honoured tricks of the trade. From inception to conception, this book will help give you a workflow to channel your muse using LMMS.Readers will be given a brief lesson on the best of dance music history, then learn how to recreate it using the Open Source digital workstation - LMMS. The reader will be guided through creating a project from start to finish. By the end of this book, the reader will know how to create a full dance track in LMMS and make it ready for distribution.Along the way, readers will take short stops into music theory, song arranging, recording, and other related information to give them a good foundation for making dance music with depth as well as power. Reading LMMS: A Complete Guide to Dance Music Production will not just teach the reader how to use LMMS, but also how good dance music is crafted. The reader will not just be taught how to make decisions in LMMS, but when and why. After devouring this book, the reader should be able to focus on his or her creativity, with LMMS as a co-conspirator in the process of making great dance music.
Anshul Johri, Sachin Handiekar
Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features.This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You’ll quickly move on to indexing text and boosting the indexing time. Next, you’ll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler.Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, we’ll help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data.By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements.